Great presentation of a variety of materials. There could have been some more details in terms of fully understanding some of the details, calculations, etc. You see this in the comments where folks struggle to be sure how the calculations are made. So that takes time and maybe the book as some of that. But all in all, just a great way to get introduced to some exciting work being done leveraging graphs.

Challenging but worthwhile. So amazing that it took me to analyse things from a completely new perspective. I felt much more sophisticated in modeling things like economics, sociology, politics and epidemics, just to name a few. The course is well organized from simple basics in the first few weeks to the more advanced models in the later half. The quiz style is also very friendly to help me review the important concepts, and also try out softwares like Gephi and Pajek.

I loved everything so far, the quiz questions are well selected, but, I believe there are some notions which should be explained further mathematically.

This lecture is a Great Introduction to Economic Networks.

Good point 1, many applications to economics research.

Good point 2, nice intuitive explanation to the notion of networks.

Note that MIT open course about Network can be complementary to this lecture.

Very nice and useful course.

Excellent course. The labs are the best. Pajek and Gephi will be handy for network graphing and analyzing data. Thank you Professor Matthew Jackson. Your work is very good for reference.

greaaaat course

Good introduction to the topic! Assignments were helpful as well as optional lecture videos.

A very comprehensive course, taught in a very engaging manner by a top-caliber researcher and professor. An improvement would be adding a separate problem set for each lecture topic, to more thoroughly test specific understanding immediately after the teaching. Also, some of the Gephi instructions were not quite clear enough.

Getting Prof. Jackson's book as a companion to this course is very useful.

Provides an in depth knowlledge about topics.